Cogent Biosciences (COGT) Net Margin (2017 - 2020)
Cogent Biosciences' Net Margin came in at -950.43% for FY2020, down 808.94 percentage points from -141.49% in FY2019.
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Analysis
Cogent Biosciences (COGT) Net Margin (2017 - 2020) Analysis & Trends
Going back to FY2017, Cogent Biosciences' Net Margin data covers 4 years.
- Net Margin carries a three-year change of -644.72 percentage points (FY2017 to FY2020).
- Per Business Quant, earlier years put Net Margin at -141.49% in FY2019 (+213.43 pp), -354.92% in FY2018 (-49.22 pp) and -305.71% in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 26.44% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 0.83% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 24.24% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.01% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 20.69% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 37.28% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 29.27% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 19.55% |
| 10 | Cogent Biosciences | 5.50 Bn | 2.15 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | -16,020.19% |
| Jun 30, 2020 | -1,400.19% |
| Mar 31, 2020 | -86.67% |
| Dec 31, 2019 | 15.02% |
| Sep 30, 2019 | -1,168.92% |
| Jun 30, 2019 | -335.12% |
| Mar 31, 2019 | -382.93% |
| Dec 31, 2018 | -226.18% |
| Sep 30, 2018 | -497.70% |
| Jun 30, 2018 | -541.60% |
| Mar 31, 2018 | -304.10% |
| Dec 31, 2017 | -315.87% |
| Sep 30, 2017 | -300.99% |
| Jun 30, 2017 | -282.83% |
| Mar 31, 2017 | -325.94% |
API Access
Cogent Biosciences Net Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=net-margin&ticker=COGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "COGT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=COGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();